{"id":205203,"created":"2025-01-19T01:07:22.347922+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00205203","sets":["6504:10247:10254"]},"path":["10254"],"owner":"6748","recid":"205203","title":["深層学習と画像セグメンテーションに基づいた動物種類と位置の検出"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-02-20"},"_buckets":{"deposit":"5b8673d3-2718-40a9-8d01-926878e71f42"},"_deposit":{"id":"205203","pid":{"type":"depid","value":"205203","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"深層学習と画像セグメンテーションに基づいた動物種類と位置の検出","author_link":["509044","509046","509045"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習と画像セグメンテーションに基づいた動物種類と位置の検出"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2020-02-20","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"神戸大"},{"subitem_text_value":"神戸大"},{"subitem_text_value":"神戸大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/205203/files/IPSJ-Z82-2Q-06.pdf","label":"IPSJ-Z82-2Q-06.pdf"},"date":[{"dateType":"Available","dateValue":"2020-06-19"}],"format":"application/pdf","filename":"IPSJ-Z82-2Q-06.pdf","filesize":[{"value":"832.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"c4a7389e-ee6d-47e0-8ddb-0530350dd88d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"任, 散陽"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中田, 裕一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田中, 直樹"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"2012年以降、深層学習は急速に発展している。本稿では、様々な深層学習モデル分類整理を試みて各モデルの特質、利用方法なんどについて考察する。さらに、本稿では、動物認識問題について独自のデータセットを作成し、複数のモデルをトレーニングし、学習時間、精度、およびPCと携帯電話での認識速度を比較することで、これらのモデルの長所と短所について考察している。その結果、動物認識問題においてMask R-CNNが高精度でありPCでの使用に適しており、また、スマートフォン向けのアプリとしてはTiny YOLOv3がサイズが小さくて高速であるため適することが確認された","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"168","bibliographic_titles":[{"bibliographic_title":"第82回全国大会講演論文集"}],"bibliographicPageStart":"167","bibliographicIssueDates":{"bibliographicIssueDate":"2020-02-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2020"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"updated":"2025-01-19T19:51:53.174668+00:00","links":{}}